Senior Manager, Data Analytics

Walmart • Bentonville, AR

2d • $90,000 - $180,000 • Onsite

About The Position

Walmart, the world's largest retailer, is looking for a Senior Manager to lead the Delivery Data & Analytics practice within its Decision Sciences organization. This role involves setting the direction for data utilization in ecommerce transportation, guiding a team of analysts, and partnering with senior Operations, Finance, and Product leaders. The position leads the Decision Sciences, Delivery Data & Analytics team, a BI function supporting daily ecommerce transportation operations. The manager will own the analytics strategy, develop and grow the analyst team, and ensure leaders can effectively use data for decision-making. The role requires deep integration with Operations and Finance to align priorities and translate business problems into analytical solutions.

Requirements

• Proven people management experience— a track record of hiring, developing, and retaining high-performing analytics talent (3+ years managing teams).
• Technical depth in SQL and BI tools— the ability to guide and review complex analytical work and set standards for data quality and visualization (6+ years).
• Strategic business acumen— the ability to connect analytics to business outcomes, particularly within Supply Chain, Last Mile Delivery, eCommerce, or Parcel Operations.
• Executive presence and communication skills— experience presenting to and influencing Director and VP-level stakeholders across Operations, Finance, and Product.
• Analytical leadership at scale— experience managing an analytics roadmap and balancing short-term operational needs with long-term capability building.
• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Finance, or related field AND 5 years' experience in data analysis, data science, or related field, including at least 2 years in a people management or team lead capacity.
• OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, or Information Technology AND 3 years' experience in data analysis or data science, including at least 2 years in a people management or team lead capacity.
• OR 7 years' experience in data analysis, data science, or related field, including at least 3 years in a people management or team lead capacity.
• Advanced proficiency in SQL and at least one BI/visualization platform (Tableau preferred).

Nice To Haves

• Experience in ecommerce operations, parcel carrier operations, or last-mile delivery analytics.
• Demonstrated experience building and scaling analytics teams and capabilities in a fast-paced, high-growth environment.
• Proficiency in Python or other scripting languages for workflow automation and analysis.
• Experience with data engineering concepts and pipeline development (ETL design, data modeling, data warehousing).
• Experience with data manipulation and preparation tools such as Knime, Alteryx, R, or Tableau Prep.
• Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology.
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau).
• Strong executive communication and data storytelling skills with demonstrated ability to influence without authority.

Responsibilities

• Lead and develop a team of Data Analysts and BI developers, fostering a culture of excellence, intellectual curiosity, and continuous improvement; provide coaching, performance feedback, and career development guidance.
• Own the analytics roadmap for Delivery Data & Analytics, aligning team priorities with strategic goals across ecommerce transportation Operations and Finance.
• Drive strategic decision-making by translating high-level business questions into analytical frameworks that deliver timely, accurate, and actionable insights.
• Engage and influence senior stakeholders (Directors, VPs) across Operations, Finance, and Product, establishing credibility as a trusted analytics partner and communicating findings clearly and compellingly.
• Oversee the design and governance of scalable data solutions, including ETL pipelines, centralized data tables, and reporting infrastructure, ensuring data integrity, accuracy, and latency standards are met.
• Set standards for data visualization and self-service BI, ensuring Tableau dashboards and reporting tools effectively monitor KPIs, quantify the impact of operational changes, and empower users to make decisions independently.
• Champion data quality and documentation across multiple systems and operational domains; hold the team accountable to rigorous standards for data completeness and reliability.
• Drive automation and efficiency in reporting workflows, partnering with the team to leverage Python and other scripting tools for metrics prioritization, outlier detection, and reporting at scale.
• Represent Decision Sciences in cross-functional forums; contribute to the broader organizational data and analytics strategy and advocate for team resources and investment.
• Recruit and scale the team in alignment with business growth, identifying capability gaps and building a bench of analytical talent.

Benefits

• Competitive pay
• Performance-based bonus awards
• Medical coverage
• Vision coverage
• Dental coverage
• 401(k)
• Stock purchase
• Company-paid life insurance
• PTO (including sick leave)
• Parental leave
• Family care leave
• Bereavement
• Jury duty
• Voting leave
• Short-term disability
• Long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Live Better U (Walmart-paid education benefit program for full-time and part-time associates)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior